Indianapolis, Indiana, September 13th, 2017 – The Indiana Chapter of HIMSS announces the Indiana
Medicaid Data Challenge, to be held at Regenstrief Institute in downtown Indianapolis on Saturday,
October 21st, 2017 from 8AM to 5PM. Teams of participants will compete to demonstrate innovative
visualization and analysis of Medicaid healthcare information that is being de-identified and released
by the Indiana Family and Social Services Administration (FSSA) through the Indiana Management
Performance Hub (MPH), with the assistance of KSM Consulting.
“Information technology and data play a vital role in managing Population Health, and generating
actionable insights from that data is essential,” said Gabriela Mustata Wilson, president of the Indiana
Chapter of HIMSS. “This is a unique opportunity for participants to leverage de-identified healthcare
information for investigation into patterns, trends, risk factors and potential interventions for the most
serious threats to the health of Indiana’s population.”
“With over 1.4 million Hoosiers enrolled in the Medicaid system, the Indiana Family and Social Services
Administration accumulates a tremendous amount of service-related data about its providers, claims,
and members,” said Jared Linder, the Chief Information Officer for FSSA. “By making more of this
information publicly available, FSSA and its partners hope to foster the creation of innovative new
health care solutions and improve health outcomes for millions of Hoosiers.”
“Engaging external stakeholders and ensuring that this data is driving better decision-making is
critical,” said Darshan Shah, the State’s Chief Data Officer and Director of MPH. “The Indiana Medicaid
Data Challenge is a first-of-its-kind opportunity for us to reach out to healthcare advocates, providers,
researchers, and entrepreneurs around the state and around the country in a spirit of collaboration
and innovation.”
For more information about the Data Challenge or to register a team to participate:
http://indiana.himsschapter.org/event/2017-indiana-medicaid-data-challenge
About Indiana Chapter of HIMSS:
The Indiana Chapter of HIMSS is one of over fifty affiliated chapters of the Healthcare Information and
Management Systems Society (HIMSS), a cause-based non-profit professional society that provides
thought-leadership, community-building and professional development. With a vision of “better
health through information technology,” HIMSS North America represents 68,000 individual members,
630 corporate members, and over 450 non-profit organizations. (http://Indiana.himsschapter.org)
About Indiana Management Performance Hub:
The Indiana Management Performance Hub is an agency that serves as the executive-branch facilitator
of Indiana’s data-driven efforts. Their mission is to connect talent and technology to provide robust
open data, to empower data-driven decision making, and to maintain data security and stewardship at
the highest level. (http://www.in.gov/mph)
About KSM Consulting:
KSM Consulting is a team of engineers, mathematicians, project managers, data analysts, and
experienced business professionals that is dedicated to the success of clients in both the public and
private sectors. Through management consulting, technology services, cybersecurity and data
analytics, they find and implement innovative solutions to help their clients meet difficult challenges.
(https://www.ksmconsulting.com)
About Regenstrief Institute:
Established in 1969 by industrial visionary and philanthropist Sam Regenstrief, the Regenstrief Institute
is a global leader dedicated to improving health and healthcare through innovations and research in
biomedical informatics, health services and aging. Regenstrief is a faculty-led support organization of
the Indiana University School of Medicine, and its regional partners include IU Health, Eskenazi Health,
the Richard L. Roudebush VA Medical Center, and the Indiana Health Information Exchange.
(http://www.regenstrief.org/)

Media contact:
Indiana Chapter of HIMSS
Indiana.info@himsschapter.org
http://Indiana.himsschapter.org/

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